"RTM" matching MCP servers:

Enables autonomous agents to discover and bid on unused LLM token quota through a machine-to-machine secondary exchange protocol. It utilizes a Proof-of-Residue handshake to verify compute capacity and facilitate the real-time acquisition of verified residue tokens.

Enables AI agents to perform native trading on True Markets by providing tools for price lookups, balance management, and secure trade execution with quote caching. It replaces fragile CLI-based workflows with structured JSON responses and persistent authentication for more reliable financial operations.

Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.

Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.

Enables any LLM to process arbitrarily long contexts through recursive decomposition, without requiring external LLM APIs.

The open retrieval layer for AI agents. Index your entire project — code, docs, legal, research, data — and serve surgical context via MCP. FTS5 full-text search, optional semantic search (FastEmbed/ONNX), 10 built-in parsers, incremental auto-sync.

Enables interaction with the Brazilian Federal Revenue's official consumption tax calculator, performing CBS/IBS/Imposto Seletivo calculations, rate lookups, NCM/NBS validation, and fiscal document XML operations, while attaching provenance metadata to every result.

MCP server for Google Tag Manager that enables interactive setup, diagnostics, remediation, and dataLayer type generation.

Enables AI assistants and automation tools to query and analyze Brazilian fiscal data, including CNPJ, Simples Nacional, NF-e, NFS-e, SPED, eSocial, tax regime comparison, and supplier risk assessment without requiring API keys.

Transform your non-existent or unreadable docs into an intelligent, searchable knowledge base that actually answers those 'basic questions' before they're asked.

Production-grade MCP server for the Google Tag Manager API v2 with read-only GA4 (Admin + Data API) tooling. 107 tools covering the full GTM surface, including server-side containers. Ships read-only: writes, publishes, and deletes are each gated behind separate opt-in flags, every mutation requires per-call confirmation, and a dry-run mode simulates changes. Includes container audits

Provides AI clients with a governed, searchable catalog of go-to-market context, including ownership, measurement, lineage, runbooks, and bulk-change templates. Optionally integrates with the UTM Builder for governed UTM reference data, preview, and issuance.

The Tencent RTC MCP Server provides real-time communication capabilities such as audio and video chat. By integrating this MCP Server into your application or project, you can easily implement secure, high-quality real-time voice and video communication.

Hosted MCP gateway to the RTP global commons of neighborhood practice and relational tech knowledge. AI builders can query 275+ recipes, frameworks, and methodology docs for community organizing.

Connects AI assistants to ITM Platform for searching projects, inspecting budgets, creating tasks, logging risks and issues, and updating project details via natural language.

MCP server that lets Claude analyze huge files (logs, dumps, etc.) via a sandboxed Python REPL and recursive language models, keeping content out of the prompt. Zero-setup with Claude Code login, Docker sandbox by default, and tools for loading, searching, chunking, and querying large contexts.

Create and manage LinkedIn ad campaigns as drafts via natural language, supporting campaign groups, targeting, creatives, and audience uploads through MCP tools.

Enables read-only MCP access to Tactical RMM, allowing agents to query devices, clients, sites, audit logs, software, and pending actions without any mutating capabilities.

An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.

Enables AI assistants to read and update a user's personal manifest (portable context) through a secure, token-based connector.